icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Aurora Tigers | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Aurora Tigers | OJHL | 47 | 4 | 21 | 25 | 0.532 | 0.1304 | 0.1365 | 0.3662 | 0.3833 |
| 2019-20 | King Rebellion | OJHL | 51 | 10 | 18 | 28 | 0.549 | 0.1346 | 0.1346 | 0.3780 | 0.3780 |
| 2020-21 | Nanaimo Clippers | BCHL | 15 | 1 | 3 | 4 | 0.267 | 0.1028 | 0.1028 | 0.3881 | 0.3881 |
| 2021-22 | Cobourg Cougars | OJHL | 30 | 3 | 18 | 21 | 0.700 | 0.1716 | 0.1546 | 0.4819 | 0.4342 |
| 2022-23 | Nipissing Univ. | USports-M | 10 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Nipissing Univ. | USports-M | 3 | 1 | 0 | 1 | 0.333 | 0.1758 | 0.1771 | 0.9769 | 0.9842 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canton | D3 | SUNYAC | SR | 16 | 1 | 2 | 3 | 0.188 |
| 2024-25 | Canton | D3 | SUNYAC | JR | 14 | 1 | 1 | 2 | 0.143 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.